Planning in a hierarchy of abstraction spaces
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
An efficient robot planner which generates its own procedures
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
Reasoning about exceptions during plan execution monitoring
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 1
Reasoning about exceptions during plan execution monitoring
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 1
Mapping and retrieval during plan reuse: a validation structure based approach
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Failure recovery: a model and experiments
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
Analyzing failure recovery to improve planner design
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Intelligent agents for the synthetic battlefield: a company of rotary wing aircraft
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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A representation for robot plans is proposed. The representation of a given plan reflects the structure of the process which produced the plan. This information is useful in both the original construction of the plan and its subsequent modification if unforeseen events cause execution failures. A programmed system that constructs and executes (in simulation) plans for journeys using a large system of public transport is described to illustrate the advantages of the representation. It is also shown how the representation could be used for more typical robot-planning worlds.